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Learning Types

56,253 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)

Papers per year

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Papers (including subtopics)

Language Models are Few-Shot Butlers EMNLP 2021 Language Models are Few-shot Multilingual Learners EMNLP 2021 Language models enable zero-shot prediction of the effects of mutations on protein function NeurIPS 2021 Language Models for Lexical Inference in Context EACL 2021 Language Recognition Based on Unsupervised Pretrained Models Interspeech 2021 Language Representations for Generalization in Reinforcement Learning ACML 2021 Language Resource Efficient Learning for Captioning EMNLP 2021 Language Scaling for Universal Suggested Replies Model NAACL 2021 LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents CVPR 2021 Large-Margin Contrastive Learning with Distance Polarization Regularizer ICML 2021 Large Norms of CNN Layers Do Not Hurt Adversarial Robustness AAAI 2021 Larger-Context Tagging: When and Why Does It Work? NAACL 2021 Larger-Scale Transformers for Multilingual Masked Language Modeling ACL 2021 Large-Scale Meta-Learning with Continual Trajectory Shifting ICML 2021 Large-Scale Self- and Semi-Supervised Learning for Speech Translation Interspeech 2021 Large-Scale Unsupervised Object Discovery NeurIPS 2021 Large-Scale Zero-Shot Image Classification from Rich and Diverse Textual Descriptions EACL 2021 LassoNet: A Neural Network with Feature Sparsity JMLR 2021 Last-iterate Convergence in Extensive-Form Games NeurIPS 2021 Late Fusion of the Available Lexicon and Raw Waveform-Based Acoustic Modeling for Depression and Dementia Recognition Interspeech 2021 LatentCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions ICCV 2021 Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition AAAI 2021 Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection NAACL 2021 Latent Skill Planning for Exploration and Transfer ICLR 2021 Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and Classification ICML 2021